Anomaly Detection Using Explainable Random Forest for the Prediction of Undesirable Events in Oil Wells.
Nida AslamIrfan Ullah KhanAisha AlansariMarah AlrammahAtheer AlghwairyRahaf AlqahtaniRazan AlqahtaniMaryam AlmushikesMohammed AL HashimPublished in: Appl. Comput. Intell. Soft Comput. (2022)
Keyphrases
- anomaly detection
- random forest
- intrusion detection
- prediction accuracy
- decision trees
- ensemble methods
- oil field
- anomalous behavior
- ensemble classifier
- detecting anomalies
- feature set
- network traffic
- network intrusion detection
- intrusion detection system
- normal behavior
- network anomaly detection
- ensemble learning
- one class support vector machines
- detect anomalies
- negative selection algorithm
- unsupervised learning
- multi label
- feature space
- pattern recognition